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Precision Dairy, Livestock, and Animal Welfare Monitoring

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Authors

Affonso Guedes, L

Alves, T.C

Azevedo, I.D

Barioni Jr., W

Bendahan, A.B

Bernardi, A

Bezerra, C.R

Bloch, V

Carrer, M.J

Castro, R.D

Cavalcante, W.P

Costa Filho, F

Costa, N.L

Costa, R

David, L

Druyan, S

Duarte, D.S

Erthal, L.V

GOMES, A.B

Gaioli Jr, C

Garcia, A.R

Godo, A

Guimarães, E.S

Heller, Y

Jorge, L.A

Karasinski, M.A

Macedo, E

Medeiros, S.R

Peixoto, S

Portugal, J.B

RODRIGUES, L.P

Ribeiro, J.S

Salton, A.T

Sampaio, D.D

Serão Filho, M

Souza Filho, H.M

Sánchez-Gendriz, I

Thomé Barbosa, R.N

Tonato, F

de Mello Brandão Vinholis, M

Topics

Precision Dairy, Livestock, and Animal Welfare Monitoring

Type

Poster

Oral

Year

2026

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Filter results7 paper(s) found.
1. Detection of Aggressive Group Behavior of Laying Hens in Free Henhouses Harmful social behaviors among laying hens, such as feather pecking and aggressive chasing, pose a significant challenge to animal welfare and productivity in cage-free poultry systems. While cage-free housing allows hens to express natural behaviors, it also increases the risk of injurious interactions that can lead to stress, injury, and economic losses. Existing mitigation strategies, including environmental enrichment and housing design improvements, reduce but do not eliminate harmful be... Y. Heller, S. Druyan, A. Godo, V. Bloch Download paper
2. Precision Livestock Farming (PLF) in Laying Quail Farming: Monitoring Environmental Conditions In poultry farming, Precision Livestock Farming (PLF) has presented a strong positive impact, helping producers manage, monitor and control both poultry and egg production operations. Furthermore, PLF can solve problems that affect the welfare of birds and/or provide early warning of such problems, allowing producers to take action in the early stages. In this context, sensors can be used to monitor and control environmental parameters that directly affect the welfare of birds and, consequent... D.D. Sampaio, L.P. Rodrigues, J.S. Ribeiro, A.B. Gomes Download paper
3. Digital Livestock Management Solution for Cattle Identification, Traceability, and Real-time Monitoring Brazil is a global player in the beef industry with the world's largest commercial bovine herd, exceeding 230 million head, and leads the international market, accounting for approximately 25% of the global beef trade, reaching over 150 international markets. The combination of edaphoclimatic diversity, high-performance genetics, rigorous sanitary protocols, and the adoption of technological framework for tropical livestock accounts for decoupling of Brazilian ranching from extensive, low... A. Bernardi, A.R. Garcia, E.S. Guimarães, F. Tonato, S.R. Medeiros, W. Barioni Jr., J.B. Portugal, T.C. Alves, W.P. Cavalcante, M. Serão Filho, C. Gaioli Jr Download paper
4. Estimation of Broiler Chicken Mass using Computer Vision with Convolutional Neural Network In poultry farming, monitoring bird mass during rearing is crucial, as it enables farmers to adjust parameters such as feed supply and lighting to better control weight gain. However, the methods currently used in poultry houses, i.e. manual weighing or poultry scales, present drawbacks, including the inability to weigh a representative number of birds or the frequent maintenance required to keep the equipment clean. The present work aims to validate an alternative method for estimating the m... I.D. Azevedo, A.T. Salton, R.D. Castro, L.V. Erthal Download paper
5. Digital Transformation and Efficiency Gains in Intensive Livestock Systems: Evidence from Brazilian Feedlots Precision livestock farming has emerged as central strategies to enhance productive efficiency, reduce waste, and improve the sustainability of agricultural systems. In beef cattle feedlots, digital technologies such feeding automation sensors is particularly relevant. The technology reduces feed waste, improves the planning of input purchases and cost control, and reduces the need for manual labor for weighing and distributing feed, allowing the team to focus on strategic activities. In the ... L.C. David, M.J. Carrer, M. , H.M. Souza Filho Download paper
6. Automatic Detection of White Shrimp (Litopenaeus Vannamei) Feeding Activity Using Acoustic Signals In the cultivation of white shrimp (Litopenaeus vannamei), feeding management is one of the main challenges, accounting for approximately 40% to 60% of operational costs. Inaccurate feed management not only increases production costs but also compromises water quality, leading to environmental impacts. Shrimp produce acoustic events known as clicks, which makes it possible to use these signals as indicators of feeding activity. This study analyzes acoustic data collected ov... F. Costa Filho, L. Affonso Guedes, S. Peixoto, I. Sánchez-gendriz Download paper
7. Comparative Evaluation of Ground Point Classifiers in LiDAR Point Clouds for DEM Generation in Pasture Areas The classification of ground points in LiDAR point clouds is an essential step for generating reliable Digital Terrain Models (DTMs), particularly in livestock production systems based on pastures. Despite methodological advances in forested and urban environments, studies specifically addressing ground classification in pasture areas remain limited, where the proximity between the forage canopy and the ground surface makes altimetric distinction between classes challenging. The heterogeneous...

Filter results7 paper(s) found.

1. Detection of Aggressive Group Behavior of Laying Hens in Free Henhouses

Harmful social behaviors among laying hens, such as feather pecking and aggressive chasing, pose a significant challenge to animal welfare and productivity in cage-free poultry systems. While cage-free housing allows hens to express natural behaviors, it also increases the risk of injurious interactions that can lead to stress, injury, and economic losses. Existing mitigation strategies, including environmental enrichment and housing design improvements, reduce but do not eliminate harmful be... Y. Heller, S. Druyan, A. Godo, V. Bloch

Download paper

2. Precision Livestock Farming (PLF) in Laying Quail Farming: Monitoring Environmental Conditions

In poultry farming, Precision Livestock Farming (PLF) has presented a strong positive impact, helping producers manage, monitor and control both poultry and egg production operations. Furthermore, PLF can solve problems that affect the welfare of birds and/or provide early warning of such problems, allowing producers to take action in the early stages. In this context, sensors can be used to monitor and control environmental parameters that directly affect the welfare of birds and, consequent... D.D. Sampaio, L.P. Rodrigues, J.S. Ribeiro, A.B. Gomes

Download paper

3. Digital Livestock Management Solution for Cattle Identification, Traceability, and Real-time Monitoring

Brazil is a global player in the beef industry with the world's largest commercial bovine herd, exceeding 230 million head, and leads the international market, accounting for approximately 25% of the global beef trade, reaching over 150 international markets. The combination of edaphoclimatic diversity, high-performance genetics, rigorous sanitary protocols, and the adoption of technological framework for tropical livestock accounts for decoupling of Brazilian ranching from extensive, low... A. Bernardi, A.R. Garcia, E.S. Guimarães, F. Tonato, S.R. Medeiros, W. Barioni Jr., J.B. Portugal, T.C. Alves, W.P. Cavalcante, M. Serão Filho, C. Gaioli Jr

Download paper

4. Estimation of Broiler Chicken Mass using Computer Vision with Convolutional Neural Network

In poultry farming, monitoring bird mass during rearing is crucial, as it enables farmers to adjust parameters such as feed supply and lighting to better control weight gain. However, the methods currently used in poultry houses, i.e. manual weighing or poultry scales, present drawbacks, including the inability to weigh a representative number of birds or the frequent maintenance required to keep the equipment clean. The present work aims to validate an alternative method for estimating the m... I.D. Azevedo, A.T. Salton, R.D. Castro, L.V. Erthal

Download paper

5. Digital Transformation and Efficiency Gains in Intensive Livestock Systems: Evidence from Brazilian Feedlots

Precision livestock farming has emerged as central strategies to enhance productive efficiency, reduce waste, and improve the sustainability of agricultural systems. In beef cattle feedlots, digital technologies such feeding automation sensors is particularly relevant. The technology reduces feed waste, improves the planning of input purchases and cost control, and reduces the need for manual labor for weighing and distributing feed, allowing the team to focus on strategic activities. In the ... L.C. David, M.J. Carrer, M. , H.M. Souza Filho

Download paper

6. Automatic Detection of White Shrimp (Litopenaeus Vannamei) Feeding Activity Using Acoustic Signals

In the cultivation of white shrimp (Litopenaeus vannamei), feeding management is one of the main challenges, accounting for approximately 40% to 60% of operational costs. Inaccurate feed management not only increases production costs but also compromises water quality, leading to environmental impacts. Shrimp produce acoustic events known as clicks, which makes it possible to use these signals as indicators of feeding activity. This study analyzes acoustic data collected ov... F. Costa Filho, L. Affonso Guedes, S. Peixoto, I. Sánchez-gendriz

Download paper

7. Comparative Evaluation of Ground Point Classifiers in LiDAR Point Clouds for DEM Generation in Pasture Areas

The classification of ground points in LiDAR point clouds is an essential step for generating reliable Digital Terrain Models (DTMs), particularly in livestock production systems based on pastures. Despite methodological advances in forested and urban environments, studies specifically addressing ground classification in pasture areas remain limited, where the proximity between the forage canopy and the ground surface makes altimetric distinction between classes challenging. The heterogeneous...